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Algorithms To Automate Estimation Of Time Codes For Captioning Digital Media, Daniel P. Harvey Ii, Peter Ping Liu
Algorithms To Automate Estimation Of Time Codes For Captioning Digital Media, Daniel P. Harvey Ii, Peter Ping Liu
Peter Ping Liu
Procedures were developed to partially automate the captioning process by estimating caption time codes using plain-text transcripts and audio recordings. Signal analysis is performed on the audio to measure pause location and duration, zero crossing rate (ZCR), and obtain frequency domain data. Algorithms were developed to match pauses in the audio to the ends of sentences in the transcript based on the observation that pause durations are greater at ends of sentences than within sentences. We have observed that ZCR peaks correspond to consonants in speech and that continuous wavelet transforms (CWT) work well for distinguishing between groups of consonants. …
Algorithms To Automate Estimation Of Time Codes For Captioning Digital Media, Daniel P. Harvey Ii, Peter Ping Liu
Algorithms To Automate Estimation Of Time Codes For Captioning Digital Media, Daniel P. Harvey Ii, Peter Ping Liu
Faculty Research & Creative Activity
Procedures were developed to partially automate the captioning process by estimating caption time codes using plain-text transcripts and audio recordings. Signal analysis is performed on the audio to measure pause location and duration, zero crossing rate (ZCR), and obtain frequency domain data. Algorithms were developed to match pauses in the audio to the ends of sentences in the transcript based on the observation that pause durations are greater at ends of sentences than within sentences. We have observed that ZCR peaks correspond to consonants in speech and that continuous wavelet transforms (CWT) work well for distinguishing between groups of consonants. …
Algorithms To Automate Estimation Of Time Codes For Captioning Digital Media, Daniel Harvey, Peter Liu
Algorithms To Automate Estimation Of Time Codes For Captioning Digital Media, Daniel Harvey, Peter Liu
Faculty Research & Creative Activity
Procedures were developed to partially automate the captioning process by estimating caption time codes using plain-text transcripts and audio recordings. Signal analysis is performed on the audio to measure pause location and duration, zero crossing rate (ZCR), and obtain frequency domain data. Algorithms were developed to match pauses in the audio to the ends of sentences in the transcript based on the observation that pause durations are greater at ends of sentences than within sentences. We have observed that ZCR peaks correspond to consonants in speech and that continuous wavelet transforms (CWT) work well for distinguishing between groups of consonants. …